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This paper aims to evaluate the relationship between external sources of knowledge and technological innovation and then analyze how technological innovation improves firm performance.

This study presents evidence based on a sample of 708 low-tech firms that participated in the National Survey of Innovation in the Manufacturing Industry and Knowledge-Intensive Service Firms (ENIIMSEC). A structural equation model approach was applied in this study.

There is a positive relationship between external sources of knowledge and technological innovation; technological innovation improves firm performance.

These results provide a deeper knowledge about how manufacturing firms in an emerging economy can apply open innovation practices to develop technological innovation, thus improving the firms' performance.

El artículo tiene por propósito evaluar la relación entre las fuentes externas de conocimiento y la innovación tecnológica, para luego analizar como esta mejora el desempeño de la empresa.

Este estudio presenta evidencia basado en una base de datos de 708 empresas de baja intensidad tecnológica que participaron en la Encuesta Nacional de Innovación en la Industria Manufacturera y Empresas de Servicios Intensivas en Conocimiento (ENIIMSEC) 2018. Se aplico el enfoque del modelo de ecuaciones estructurales.

Existe una relación positiva entre las fuentes externas de conocimiento y la innovación tecnológica, para que luego esta mejore el desempeño de la empresa.

Estos resultados proporcionan un conocimiento más profundo sobre como las empresas de manufactura de menor intensidad tecnológica pertenecientes a una economía emergente son capaces de aplicar las prácticas de la innovación abierta para desarrollar la innovación tecnológica, mejorando el desempeño de la empresa.

Economic pressures are driving fleets to substantially increase their maintenance intervals. To meet this challenge, both the original equipment manufacturers (OEM) and the lubricant suppliers have developed new and better products to give users the benefits of extended service intervals while at the same time maintaining equipment life and reducing operating costs. This paper will examine the options available in formulating extended drain transmission and axle lubricants by comparing four products designed to meet the OEM extended service interval requirements. Bench test and field test data will be reviewed which show that by optimizing the base oil as well as the additive system, both synthetic as well as properly formulated mineral oil products can give excellent extended drain performance. With mounting economic pressures in the trucking industry, these new products will give maintenance personnel additional product choices as they move their fleets to extended drain transmission and axle lubricants in an effort to safely extend equipment life and reduce total maintenance costs.

The use of a force sensor to estimate the external force of manipulator not only needs to deal with the signal noise of the sensor itself but also needs to solve the coupling interference of the sensor itself, especially the axial force. The purpose of this paper is to develop a three-dimensional fiber Bragg grating (FBG) wrist force sensor, which has a simple structure and reduces the coupling influence between several axes.

A particular separation elastic structure with four FBGs is devised for the three-axial force sensor. One FBG is suspended on the profile of central cylinder and the other three FBGs are pasted on the elastic beam surface of the over and under measuring bodies, respectively. Finite element analysis (FEA) simulation has been implemented to the strain distribution characteristics, the output characteristics of each direction and the coupling effects of the structure. Furthermore, theoretical derivation and experimental results are used to compare, which have a good consistency.

The experiment results show that the maximum repeatability error of the sensor is 6.75%, the maximum nonlinear error is 5.36%, the maximum coupling interference is 4.73% and the minimum sensitivity is 1.58 pm/N.

A three-dimensional force sensor based on FBG adopts a particular separation elastic structure. The sensor can reduce the coupling influence between several axes, especially the coupling interference in the z-direction is 0.

The liberalization initiative commenced in India from 1991 onwards, replacing the four-decade long import substitution policy. The primary objective was to enhance the role of foreign and private investment, in line with the newly embraced outward-oriented growth model. The government had undertaken several policy initiatives since then, especially to strengthen the manufacturing sector which plays an important role in the economic development of any country. The current study evaluates the effects of the liberalization policy in India on industrial outcomes. Recent studies have found that when firm heterogeneity is present in trade models, reforms will lead to a decrease in the number of firms and a rise in their average size (Melitz, 2003). A dataset of 24 manufacturing industries had been used in the current study. We test empirically whether liberalization had led to a rise in the average size of establishments as stated in the literature. We also attempt to analyze the magnitude of trade costs in terms of the impact of reforms on wages and prices. The empirical analysis based on the difference-in-difference (DID) estimation method shows that on average, trade reforms do not lead to an increase in the real wages and average size of establishments. In addition, prices appear to increase in the long run due to liberalization, with potential ramifications.

Air pollution affects labour productivity and these effects arise in both indoor and outdoor environments and at varying levels of worker skill. They also arise at levels of air pollution generally considered to be within existing air quality standards and guidelines. Although the damage per individual is small when compared to more extreme events, such as mortality and hospitalisations, the effects are more widespread and may thus represent a significant cost to society. Labour is an essential element in every nation’s economy serving as one of the primary factors of production and India not an exception. Investing in human capital is viewed as a key source of sustained increase in labour productivity and economic growth. On the other hand, environmental regulations are typically considered to be a struggle on the economy. However, improved environmental quality may actually enhance productivity by creating a healthier workforce. At the same time, air pollution may affect labour productivity and can reduce the productivity of workers in physically demanding occupations. This chapter may be an attempt to provide comprehensive estimates of the major air pollutants in different states of India and also tries to identify the linkage between air pollution and labour productivity in case of Indian manufacturing sector.

In India, economic reforms adopted in 1991 in form of LPG (Liberalization-Privatization-Globalization) removed numerous barriers to grow and offered opportunities to improve productivity, particularly, for the manufacturing sector. But the rationale that manufacturing sector acted as main contributor to country's economic growth via GDP growth (called “engine of growth”) for a long time in India has been challenged now a day. The growing significance of the services sector across the world exhibits that at the present time, the services sector could become the new engine of economic growth in developing economies like India. The present study seeks to bring to light whether manufacturing is acting as an “engine of growth” at inter-state level in India or not and the cross section result indicates that potency of manufacturing growth and agricultural growth is gradually slowing down as a conforming part of economic growth and service sector is taking leading position in accelerating engine of growth in India.

World economies including India have been moving toward recession. To combat this recession more employment generation through investment is required in a highly populated economy like India. Since unorganized manufacturing enterprises (UMEs) provide employment to a huge mass in India, therefore its growth and productivity is a matter of concern in the Indian economy. The present study analyzes the growth and productivity of UMEs on the basis of the latest two rounds of NSSO unit level data incorporating all states and union territories (UTs) of India. It reveals that the growth of UMEs, employment, gross value added (GVA) and fixed assets widely varied across states/UTs, and these growth rates were substantially high in a number of states during 2010–11 and 2015–16. In most of the states/UTs the labor productivity of UMEs has increased significantly but not the capital productivity. Our analysis supports the theoretical relationship among growth of employment, GVA, and labor productivity. Therefore, the government has to make deliberate attempts to increase the growth of UMEs on one side and raise productivities of UMEs through skill developments on the other side to overcome the problem of unemployment in particular and expedite the growth of the Indian economy in general to combat the global economic recession.